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Grid computing, cloud computing (CC), utility computing and software as a service are emerging technologies predicted to result in massive consolidation as meta‐level computing services of everything beneath one umbrella in the future. The purpose of this study is to foster the understanding and differentiation, by using the three aforementioned types of computing technologies and software, as a service by both public and private libraries to meet their expectations and strategic objectives.

The approach in this study is a review based on comparing the four computing technologies with a brief analysis for researching and designing the mind map of a new meta‐level computing service approach, taking into consideration the need for new economic tariff and pricing models as well as service‐level agreements.

Since it is anticipated that there will be likely potential consolidation and integration of computing services, a study of these four most advanced computing technologies and their methodologies is presented through their definition, characteristics, functionalities, advantages and disadvantages. This is a well‐timed technological advancement for libraries.

It appears that the future of library services will become even more integrated, running over CC platforms based on usage rather than just storage of data.

Libraries will become an open useful resource to all and sundry in a global context, and that will have huge societal benefits never imagined before.

Concisely addresses the strategies, functional characteristics, advantages and disadvantages by comparing these technologies from several service aspects with a view to assisting in creating the next generation outer space computing.

This study aims to investigate the impact of trust in the metaverse on the Islamic banking sector, particularly in facilitating market success. Additionally, it seeks to explore the relationship between metaverse-driven brand image, product features, service quality and overall performance in the market.

Data were collected from 187 participants in Jordan, with the SmartPLS software used to test the hypotheses.

The findings reveal a significant impact of metaverse-enhanced brand image, product features and service quality on Islamic banking market performance. Furthermore, customer trust in the metaverse plays a significant role in shaping the relationship between product features, service quality and Islamic banking market performance.

The study’s practical implications still suggest the need for a more holistic metaverse-driven approach. Investing in service quality initiatives alone may not adequately build and sustain customer trust in the metaverse. Instead, transparent communication on ethical practices in the metaverse is required to reinforce trust and magnify the positive influence of superior service quality in the metaverse.

An arterial blood gas (ABG) interpretation remains indispensable tool to assess and monitor critically ill patients in the intensive care unit or other critical care settings. This paper proposes a mobile‐based interpreter for ABG tests with the aim of providing accurate diagnosis in face of multiple acid‐base and oxygenation disorders. The paper aims to discuss these issues.

A rule‐based expert system is designed and implemented using interpretation knowledge gathered from specialist physicians and peer‐reviewed medical literature. The gathered knowledge of ABG tests are organized into premise‐explanation pairs to deliver reliable evaluation with the appropriate differential in a timely manner.

Performance of the developed interpreter prototype was assessed using a dataset of 74 ABG tests gathered from medical literature and clinical practice. The obtained results demonstrated that the identified acid‐base and oxygenation disorders and their differential diagnoses are accurately correlated with those assessed manually by consultant specialist physicians.

This application is foreseen to be an everyday tool for clinicians at various levels; however, further studies are needed to evaluate its eventual impact on patients’ outcomes.

The contribution of this paper is the development of a new ABG interpreter which combines both the acid‐base and oxygenation disorders in a single application. Unlike existing ABG interpreters, it is comprehensive and capable of accurately identifying all kinds of acid‐base disorders and their combinations. In addition, it utilizes urine electrolytes which are useful tools in the differential diagnosis of normal anion gap metabolic acidosis and metabolic alkalosis. The interpretation algorithm is also designed to be flexible for some clinical settings which lack some input test data.